Thumbnail Image

D'AGROVOC a l'Agricultural Ontology Service / Concept Server

Un modele OWL pour la creation d'ontologies dans le domaine de l'agriculture








Also available in:

Related items

Showing items related by metadata.

  • Thumbnail Image
    Book (stand-alone)
    From AGROVOC to the Agricultural Ontology Service / Concept Server
    An OWL model for creating ontologies in the agricultural domain
    2006
    Also available in:

    This paper illustrates the conversion from a traditional thesaurus in agriculture (AGROVOC) to a new system, the Agricultural Ontology Service Concept Server (AOS/CS). The Concept Server will serve as a multilingual repository of concepts in the agricultural domain providing ontological relationships and a rich, semantically sound terminology. The Food and Agriculture Organization recently developed the underlying model for this new system in the Web ontology language OWL. In this paper, we desc ribe the purpose of this conversion and the use of OWL and highlight in particular the core features of the developed OWL model. We go on to explain how it evolves and differs from the traditional thesaurus approach.
  • Thumbnail Image
    Document
    The AGROVOC Concept Server Workbench: A collaborative tool for managing multilingual knowledge 2008
    Also available in:
    No results found.

    Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC Concept Server Workbench (ACSW) for multilingual ontological concept construction and maintenance. The ACSW is a web 2.0 based application consisting of two main functionalities that are user management and ontological knowledge management (i.e. concept, sch eme, relationship, export, search, validate and consistency check) in order to maintain the knowledge acquisition life-cycle in food and agriculture domain. Knowledge is stored in the form of multilingual concept hierarchy and also kept in the OWL format in order to exchange between machines and to do reasoning. This workbench uses Protégé API as an OWL framework. Moreover the Ontology Game conceptual framework is also presented in order to acquire ontology terms more pleasant.
  • Thumbnail Image
    Book (stand-alone)
    Pruning-based identification of domain ontologies 2003
    Also available in:
    No results found.

    We present a novel approach of extracting a domain ontology from large-scale thesauri. Concepts are identified to be relevant for a domain based on their frequent occurrence in domain texts. The approach allows to bootstrap the ontology engineering process from given legacy thesauri and identifies an initial domain ontology that may easily be refined by experts in a later stage. We present a thorough evaluation of the results obtained in building a biosecurity ontology for the UN FAO AOS project .
  • Thumbnail Image
    Book (stand-alone)
    From AGROVOC to the Agricultural Ontology Service / Concept Server
    An OWL model for creating ontologies in the agricultural domain
    2006
    Also available in:

    This paper illustrates the conversion from a traditional thesaurus in agriculture (AGROVOC) to a new system, the Agricultural Ontology Service Concept Server (AOS/CS). The Concept Server will serve as a multilingual repository of concepts in the agricultural domain providing ontological relationships and a rich, semantically sound terminology. The Food and Agriculture Organization recently developed the underlying model for this new system in the Web ontology language OWL. In this paper, we desc ribe the purpose of this conversion and the use of OWL and highlight in particular the core features of the developed OWL model. We go on to explain how it evolves and differs from the traditional thesaurus approach.
  • Thumbnail Image
    Document
    The AGROVOC Concept Server Workbench: A collaborative tool for managing multilingual knowledge 2008
    Also available in:
    No results found.

    Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC Concept Server Workbench (ACSW) for multilingual ontological concept construction and maintenance. The ACSW is a web 2.0 based application consisting of two main functionalities that are user management and ontological knowledge management (i.e. concept, sch eme, relationship, export, search, validate and consistency check) in order to maintain the knowledge acquisition life-cycle in food and agriculture domain. Knowledge is stored in the form of multilingual concept hierarchy and also kept in the OWL format in order to exchange between machines and to do reasoning. This workbench uses Protégé API as an OWL framework. Moreover the Ontology Game conceptual framework is also presented in order to acquire ontology terms more pleasant.
  • Thumbnail Image
    Book (stand-alone)
    Pruning-based identification of domain ontologies 2003
    Also available in:
    No results found.

    We present a novel approach of extracting a domain ontology from large-scale thesauri. Concepts are identified to be relevant for a domain based on their frequent occurrence in domain texts. The approach allows to bootstrap the ontology engineering process from given legacy thesauri and identifies an initial domain ontology that may easily be refined by experts in a later stage. We present a thorough evaluation of the results obtained in building a biosecurity ontology for the UN FAO AOS project .

Users also downloaded

Showing related downloaded files

No results found.